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Azure Solutions Architect Expert, Azure Administrator Associate, Azure Security Engineer Associate, Azure Network Engineer Associate. Best practices, code repositories, Bicep, Azure DevOps pipeline experience.
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Experience with Azure, Snowflake, Azure Data Factory, and DBT is a plus. Azure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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Experience or knowledge in building applications that leverage LLMs as a service, like Vertex AI LLM APIs (PaLM, Gemini), Azure OpenAI API, Amazon Bedrock. Data Analysis with SQL, BigQuery.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Microsoft Certified Azure Fundamentals (AZ-900) or higher Amazon AWS Cloud Practitioner or higher Preferred Qualifications and Skills Proven experience indeveloping and implementing business continuity plans.
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Experience with Data Warehousing (Azure/SQL/Synapse), ETL (Azure Data Factory/SSIS), Microsoft Power Apps. Become a part of our caring community and help us put health first. Expertise in data mining, forecasting, simulation, and/or predictive modeling.
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As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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An ISV in the AWS, GCP or Azure partner ecosystems. More than half of the Fortune 500 and more than two thirds of the Fortune 100 trust PagerDuty including Cisco, Cox Automotive, DoorDash, Electronic Arts, Genentech, Shopify, Zoom and more.
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Experience with Microsoft/Azure data, analytics & BI services (Azure Data Factory, Synapse, Fabric, Power BI). Experience with CI/CD (GitHub or Azure DevOps). Familiarity with Azure advanced analytics & machine learning services.
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You will work with a variety of technologies and platforms, including Windows Server, Nutanix, Azure, Office 365, and more. Azure Privilege Identity management. You will work with a variety of technologies and platforms, including Windows Server, Nutanix, Azure, Office 365, and more.
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Knowledge of Agile tools such as ADO (Azure Devops), Confluence. Knowledge of Agile tools such as ADO (Azure Devops), Confluence. They play a key role in the analysis, research, planning, engagement and execution of strategic initiatives within the US CCT business unit.
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Cloud Big Data skills, such as Azure, AWS, Snowflake. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Must have two years' programming experience in at least two of the following: R, Python, SQL.
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The successful candidate is someone well-versed in data platforms such as Databricks or Snowflake, with experience in cloud environments, preferably azure. Proficiency with the Azure data suite (Azure SQL, Data Factory, Synapse Analytics, Power BI.
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Experience in DevOps tools like Azure DevOps, Docker, Kubernetes, and Library Management tools like Artifactory or NuGet. At least 3+ years’ experience in Microsoft Azure Services (App Service, Service Fabric, Azure Service bus, API Management, Logic Apps and Azure Functions.
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Supporting Database in a cloud environment including AWS and Azure. Db2 DBA on z/OS (mainframe) version 11, 12, or 13. Db2 DBA on LUW Structure and Functionality. This position requires excellent communication skills and maintaining a close working relationship not only with members of the MNIT Enterprise Database Services Group, but also with other services groups (including Middleware, Server Support, Storage, Network support, etc.
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